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  • Search: subject:"asymptotic inference"
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Year of publication
Subject
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asymptotic inference 16 Estimation theory 9 Schätztheorie 9 Asymptotic inference 7 Induktive Statistik 5 Statistical inference 5 Income distribution 4 Nichtparametrisches Verfahren 4 Einkommensverteilung 3 Factor model 3 Gini index 3 Group Lasso 3 Periodic 3 Seasonality 3 Weather 3 Zeitreihenanalyse 3 bootstrap 3 delta method 3 fMRI 3 grouping variability 3 implied volatility surface 3 pseudo-maximum likelihood estimation 3 t-statistic inference approach 3 Asymptotic Inference 2 Binary classification 2 Bootstrap 2 Concentration measurement 2 Inequality 2 Konzentrationsmaß 2 Nonparametric statistics 2 Regression analysis 2 Regressionsanalyse 2 Semiparametric model 2 Theorie 2 Wirtschaft 2 extrapolation 2 factor models 2 finite-sample and asymptotic inference 2 inequality 2 jackknife 2
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Online availability
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Free 20 Undetermined 5
Type of publication
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Book / Working Paper 22 Article 7
Type of publication (narrower categories)
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Working Paper 8 Article in journal 5 Aufsatz in Zeitschrift 5 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4 Thesis 2
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Language
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English 20 Undetermined 9
Author
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Song, Song 4 Borak, Szymon 3 Davidson, Russell 3 Härdle, Wolfgang 3 Härdle, Wolfgang Karl 3 Robinson, Peter M. 3 Zaffaroni, Paolo 3 Giacomini, Raffaella 2 Horowitz, Joel 2 Hérault, Nicolas 2 Jenkins, Stephen 2 Lee, Sokbae 2 Mammen, Enno 2 Park, Byeong U. 2 Ritov, Ya'acov 2 White, Halbert 2 Arcarons, Jordi 1 Babii, Andrii 1 Basawa, I. V. 1 Benkwitz, Alexander 1 Calonge, Samuel 1 Clarke, Judith A. 1 Hafner, Christian 1 Herault, Nicolas 1 Hoque, Ahmed A. 1 Hwang, S. Y. 1 Härdle, Wolfgang K. 1 Jenkins, Stephen P. 1 Liu, Shew Fan 1 Lutekpohl, Helmut 1 Neumann, Michael 1 Parker, Thomas 1 Ritov, Ya’acov 1 Robinson, Peter M 1 Wang, Andrew 1 Ya'acov Ritov 1 Yang, Zhenlin 1 Zafaroni, Paolo 1
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Institution
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HAL 3 London School of Economics (LSE) 2 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 2 Department of Economics, University of California-San Diego (UCSD) 1 Department of Economics, University of Victoria 1 EconWPA 1 Econometric Society 1 Suntory and Toyota International Centres for Economics and Related Disciplines, LSE 1
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Published in...
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Working Papers / HAL 3 LSE Research Online Documents on Economics 2 SFB 649 Discussion Paper 2 SFB 649 Discussion Papers 2 The econometrics journal 2 CEMMAP working papers / Centre for Microdata Methods and Practice 1 Discussion paper series / IZA 1 Econometric Reviews 1 Econometric Society 2004 North American Summer Meetings 1 Econometrics 1 Econometrics Working Papers 1 IZA Discussion Papers 1 Journal of econometrics 1 Journal of economic inequality 1 Regional science & urban economics 1 STICERD - Econometrics Paper Series 1 Statistics & Probability Letters 1 University of California at San Diego, Economics Working Paper Series 1 Working paper series 1 Working papers / TSE : WP 1 cemmap working paper 1
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Source
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RePEc 14 ECONIS (ZBW) 9 EconStor 4 BASE 2
Showing 1 - 10 of 29
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Binary classification with the maximum score model and linear programming
Horowitz, Joel; Lee, Sokbae - 2025
This paper presents a computationally efficient method for binary classification using Manski's (1975,1985) maximum score model when covariates are discretely distributed and parameters are partially but not point identified. We establish conditions under which it is minimax optimal to allow for...
Persistent link: https://www.econbiz.de/10015444961
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The T-Statistic Approach to Inference for Inequality Indices: The Issue of Grouping Variability
Herault, Nicolas; Jenkins, Stephen P. - 2025
Ibragimov, Kattuman, and Skrobotov (Econometric Reviews, 2025) propose a 't-statistic' approach to inference for inequality indices building on results provided by Ibragimov and Müller (Journal of Business & Economic Statistics, 2010), and they and Midões and de Crombrugghe (Journal of...
Persistent link: https://www.econbiz.de/10015445032
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Cover Image
Binary classification with the maximum score model and linear programming
Horowitz, Joel; Lee, Sokbae - 2025
This paper presents a computationally efficient method for binary classification using Manski's (1975,1985) maximum score model when covariates are discretely distributed and parameters are partially but not point identified. We establish conditions under which it is minimax optimal to allow for...
Persistent link: https://www.econbiz.de/10015439509
Saved in:
Cover Image
The t-statistic approach to inference for inequality indices : the issue of grouping variability
Hérault, Nicolas; Jenkins, Stephen - 2025
Ibragimov, Kattuman, and Skrobotov (Econometric Reviews, 2025) propose a "t-statistic" approach to inference for inequality indices building on results provided by Ibragimov and Müller (Journal of Business & Economic Statistics, 2010), and they and Midões and de Crombrugghe (Journal of...
Persistent link: https://www.econbiz.de/10015415298
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The t-statistic approach to inference for inequality indices : the issue of grouping variability
Hérault, Nicolas; Jenkins, Stephen - 2025
Persistent link: https://www.econbiz.de/10015476823
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A general diagnostic of the normal approximation in GMM models
Wang, Andrew - In: The econometrics journal 28 (2025) 2, pp. 261-275
Persistent link: https://www.econbiz.de/10015459750
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Honest confidence sets in nonparametric IV regression and other ill-posed models
Babii, Andrii - 2017
Persistent link: https://www.econbiz.de/10012265781
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Asymptotic inference for the constrained quantile regression process
Parker, Thomas - In: Journal of econometrics 213 (2019) 1, pp. 174-189
Persistent link: https://www.econbiz.de/10012304547
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On Variance Estimation for a Gini Coefficient Estimator Obtained from Complex Survey Data
Clarke, Judith A.; Hoque, Ahmed A. - Department of Economics, University of Victoria - 2014
Obtaining variances for the plug-in estimator of the Gini coefficient for inequality has preoccupied researchers for decades with proposed analytic formulae often cumbersome to apply, in addition to being obtained assuming an iid structure. Bhattacharya (2007, Journal of Econometrics) provides...
Persistent link: https://www.econbiz.de/10010898269
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Confidence bands in quantile regression and generalized dynamic semiparametric factor models
Song, Song - 2010
In vielen Anwendungen ist es notwendig, die stochastische Schwankungen der maximalen Abweichungen der nichtparametrischen Schätzer von Quantil zu wissen, zB um die verschiedene parametrische Modelle zu überprüfen. Einheitliche Konfidenzbänder sind daher für nichtparametrische Quantil...
Persistent link: https://www.econbiz.de/10009467050
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